A team of researchers from Charles Darwin University in Australia is using artificial intelligence (AI) to potentially ...

Collins Aerospace, a business of RTX, has entered an agreement with Air Europa to provide comprehensive maintenance, repair ...

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

From virtual staining to lensless microscopes, researchers are capitalizing on artificial intelligence to rethink microscopy ...

The potential of artificial intelligence (AI) in the renewables industry is immense. By harnessing advanced data analysis, ...

Jeremy Glaser and Sharzaad Borna of Mintz discuss waves of change in the legal profession brought on by AI, in areas such as billing, the work of support staff and junior associates, and ethics.

Abstract: In the swiftly changing field of supply chain management, effective forecasting is crucial for optimizing ...

AV control methods are very sensitive to application scenarios. Three major scenarios for RL-based control, namely highway lane change, highway ramp merging, and platoon coordination, are discussed.

The recent growth of Machine Learning (ML ... Most studies incorporated a supervised learning approach to classify activity, with the most common algorithms being some form of neural network ...

A patient recovering from a limb amputation won't use a prostheses that isn't comfortable. A person rehabbing from a stroke ...

Tiny machine learning (TinyML) provides the UAV advanced algorithms and models that can be run on the low-power and resource-constrained platforms. In this article, from the perspective of semantic ...

Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms is a research topic with significant implications in both environmental ...